Two MSc students from parallel computing group awarded

Two MSc students from parallel computing group “alpha” have been awarded with best thesis of the year price

Maurizio Drocco from MSc in Computer Science and Alessandro Ludovico Veltri from the MSc in Networking from the Interfaculty School of Strategic Studies, respectively, have been awarded with “University of Torino best thesis of the year 2012/13 price”. Only one student per master class is awarded every year.

Maurizio Drocco graduated with the thesis on “Parallel stochastic simulators in systems biology: the evolution of the species”, Alessandro Ludovico Veltri graduated with the thesis on “Analysis, setup and assessment of cloud platforms: addressing the defense cloud computing”.

Both of them graduated with “summa cum laude and honour”, for the exceptional quality of their curricula and their thesis .

About Marco Aldinucci

Marco Aldinucci is an assistant professor at Computer Science Department of the University of Torino since 2008. Previously, he has been researcher at University of Pisa and Italian National Research Agency. He is the author of over a hundred papers in international journals and conference proceeding (Google scholar h-index 21). He has been participating in over 20 national and international research projects concerning parallel and autonomic computing. He is the recipient of the HPC Advisory Council University Award 2011 and the NVidia Research award 2013. He has been leading the “Low-Level Virtualization and Platform-Specific Deployment” workpackage within the EU-STREP FP7 ParaPhrase (Parallel Patterns for Adaptive Heterogeneous Multicore Systems) project, the GPGPU workpackage within the IMPACT project (Innovative Methods for Particle Colliders at the Terascale), and he is the contact person for University of Torino for the European Network of Excellence on High Performance and Embedded Architecture and Compilation. In the last year he delivered 5 invited talks in international workshops (March 2012 – March 2013). He co-designed, together with Massimo Torquati, the FastFlow programming framework and several other programming frameworks and libraries for parallel computing. His research is focused on parallel and distributed computing.